GTM Engineer
RemoteUnited States
Job Summary
Build the GTM tech stack including HubSpot workflows, Apollo/Clay enrichment, outbound sequences, and Fireflies/Gong telemetry integrations. Design custom demo environments seeded with realistic hauler data for account executives to spin up in minutes. Ship AI agents for pre-call briefs, post-call summaries, proposal drafting, and automated CRM hygiene while measuring adoption. Stand up data infrastructure for pipeline visibility, forecast accuracy, and conversion analytics. Build customer service automation for ticket triage, onboarding flows, and sentiment scoring. Partner with product engineering when GTM problems require product changes. This role reports to the Head of Sales with close partnership across Marketing and Customer Success.
Required Qualifications
- 4+ years in a hybrid engineering + GTM role
- Sales Engineer, RevOps Engineer, Solutions Engineer, GTM Engineer, or a developer who chose revenue
- Code writing ability in TypeScript, Python, or SQL
- Building with no-code tools (n8n, Make, Zapier, custom GPTs)
- Strong opinions about when code vs no-code is right
- Deep HubSpot or Salesforce admin/dev skills
- Experience designing CRM data models
- Shipped AI agents in production
- Ability to sit in on a demo, identify friction, and build the tool to remove it
Desired Qualifications
- Experience building HubSpot workflows
- Experience with Apollo/Clay enrichment
- Experience with outbound sequences
- Experience with Fireflies/Gong telemetry
- Experience with custom Slack alerting
- Experience integrating tools between them
- Experience designing and shipping custom demo environments seeded with realistic hauler data
- Experience building AI agents for pre-call account briefs
- Experience building AI agents for post-call summaries
- Experience building AI agents for proposal drafting
- Experience building AI agents for follow-up composition
- Experience building AI agents for automated CRM hygiene
- Experience measuring adoption and impact of AI agents
- Experience building data infrastructure for revenue including pipeline visibility
- Experience building forecast accuracy tooling
- Experience building attribution and conversion analytics
- Experience building customer service automation including AI ticket triage
- Experience building onboarding flows
- Experience with customer health and sentiment scoring
- Experience partnering with product engineering for GTM problems requiring product changes
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